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How Machine Learning Helps Improve the Security Industry

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Transformation on a Global Scale

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IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

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Fei Huang, NeuVector
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6 Marketing Strategies for Your Small Business

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eBook: Making Sense of Stream Processing

March 13, 2017 No Comments

The Philosophy Behind Apache Kafka and Scalable Stream Data Platforms

How can event streams help make your application more scalable, reliable, and maintainable?

In this ebook, O’Reilly author Martin Kleppmann shows you how stream processing can make your data processing systems more flexible and less complex. Structuring data as a stream of events isn’t new, but with the advent of open source projects like Apache Kafka and others, stream processing is finally coming of age.

Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits include better data quality, faster queries through precomputed caches, and real-time user interfaces. Learn how to open up your data for richer analysis and make your applications more scalable and robust.

Download the eBook to learn more.

Stream processing confluent 199x300 eBook: Making Sense of Stream Processing

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